Tag: Supply chain planning

analytics

Can We Side-Step the AI Spin Cycle?

When it comes to combining tech, 1+1+1 should equal more than 1. The impact should be exponential. Unfortunately, today, the answer is 0.

What do I mean? Let me explain.

I find that the supply chain technology market moves slowly along traditional technology lines. Conferences are usually focused on the use of technology, not on redefining work. This bothers me. I want it to bother you as well.

Here I share some insights to drive change.

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Big data supply chains

The Sad Demise of the Food Industry

For the period of 2016-2025, the industry average was 11% operating margin and 7.82 inventory turns, with a 35% decline in industry inventory performance. Few companies were aware of or adapted to the shift in industry potential.
Today, the shifts are faster as consumers trade down to cheaper brands and retail private label gains market share. Major inflationary spikes in protein, especially beef and eggs, due to supply shortages and disease-related disruptions in 2025, continue the never-ending ride in commodity volatility. Yet, companies are insular to adapt their supply chain practices. Putting AI on top of traditional supply chain processes is a recipe for disaster.

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Big data supply chains

The Beat Goes On

A reflection of how we need to unlearn to rethink supply chain planning processes.

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Big data supply chains

Mistakes and Opportunities

Discussion of the barriers in moving from traditional planning platforms to build new processes on native-AI supply chain planning platforms.

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